> For the complete documentation index, see [llms.txt](https://opora.gitbook.io/opora-health-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://opora.gitbook.io/opora-health-documentation/extensions/compliance-documentation-export.md).

# Compliance documentation export

Generates standardised documentation directly from OPORA’s model registry and governance knowledge graph. Metadata on datasets, training, audits, and compliance is automatically compiled into Model Cards, Datasheets for Datasets, and EU AI Act–aligned compliance summaries. Outputs are produced in human-readable (PDF/HTML) and machine-readable (JSON-LD/RDF) formats, versioned for traceability, and integrated into dashboards and regulatory reports.

{% hint style="info" %}
Model cards are structured reports that document key facts about a machine learning model, similar to a “nutritional label” for AI. In clinical AI, they’re treated as a compliance artefact under the EU AI Act and IEEE 7014.
{% endhint %}

<figure><img src="https://1006254083-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FlOhtEUn0IGCvXdlPOQkq%2Fuploads%2FpErcr1567unkVR8PRvLq%2F64d94dce098a351cea9667fe_64b96154b08115148ffad3d9_Model%2520Cards_low.png?alt=media&amp;token=12af5956-8782-4760-9fd5-7a5873be5168" alt=""><figcaption><p>Example of a model card. <a href="https://medium.com/google-cloud/build-responsible-models-with-model-cards-and-vertex-ai-pipelines-8cbf451e7632">Source</a></p></figcaption></figure>
